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‎docs/en/integrations/data-ingestion/google-dataflow/templates/bigquery-to-clickhouse.md‎

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The BigQuery types are converted based on your ClickHouse table definition. Therefore, the above table lists the
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recommended mapping you should have in your target ClickHouse table (for a given BigQuery table/query):
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| BigQuery Type | ClickHouse Type | Notes |
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|-----------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| [**Array Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#array_type) | [**Array Type**](https://clickhouse.com/docs/en/sql-reference/data-types/array) | The inner type must be one of the supported primitive data types listed in this table. |
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| [**Boolean Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#boolean_type) | [**Bool Type**](https://clickhouse.com/docs/en/sql-reference/data-types/boolean) | |
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| [**Date Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#date_type) | [**Date Type**](https://clickhouse.com/docs/en/sql-reference/data-types/date) | |
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| [**Datetime Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#datetime_type) | [**Datetime Type**](https://clickhouse.com/docs/en/sql-reference/data-types/datetime) | Works as well with `Enum8`, `Enum16` and `FixedString`. |
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| [**String Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#string_type) | [**String Type**](https://clickhouse.com/docs/en/sql-reference/data-types/string) | In BigQuery all Int types (`INT`, `SMALLINT`, `INTEGER`, `BIGINT`, `TINYINT`, `BYTEINT`) are aliases to `INT64`. We recommend you setting in ClickHouse the right Integer size, as the template will convert the column based on the defined column type (`Int8`, `Int16`, `Int32`, `Int64`). |
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| [**Numeric - Integer Types**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#numeric_types) | [**Integer Types**](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint) | In BigQuery all Int types (`INT`, `SMALLINT`, `INTEGER`, `BIGINT`, `TINYINT`, `BYTEINT`) are aliases to `INT64`. We recommend you setting in ClickHouse the right Integer size, as the template will convert the column based on the defined column type (`Int8`, `Int16`, `Int32`, `Int64`). The template will also convert unassigned Int types if used in ClickHouse table (`UInt8`, `UInt16`, `UInt32`, `UInt64`). |
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| [**Numeric - Float Types**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#numeric_types) | [**Float Types**](https://clickhouse.com/docs/en/sql-reference/data-types/float) | Supported ClickHouse types: `Float32` and `Float64` |
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| BigQuery Type | ClickHouse Type | Notes |
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|-----------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| [**Array Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#array_type) | [**Array Type**](../../../sql-reference/data-types/array){:target="_blank"} | The inner type must be one of the supported primitive data types listed in this table. |
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| [**Boolean Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#boolean_type) | [**Bool Type**](../../../sql-reference/data-types/boolean) | |
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| [**Date Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#date_type) | [**Date Type**](../../../sql-reference/data-types/date) | |
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| [**Datetime Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#datetime_type) | [**Datetime Type**](../../../sql-reference/data-types/datetime) | Works as well with `Enum8`, `Enum16` and `FixedString`. |
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| [**String Type**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#string_type) | [**String Type**](../../../sql-reference/data-types/string) | In BigQuery all Int types (`INT`, `SMALLINT`, `INTEGER`, `BIGINT`, `TINYINT`, `BYTEINT`) are aliases to `INT64`. We recommend you setting in ClickHouse the right Integer size, as the template will convert the column based on the defined column type (`Int8`, `Int16`, `Int32`, `Int64`). |
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| [**Numeric - Integer Types**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#numeric_types) | [**Integer Types**](../../../sql-reference/data-types/int-uint) | In BigQuery all Int types (`INT`, `SMALLINT`, `INTEGER`, `BIGINT`, `TINYINT`, `BYTEINT`) are aliases to `INT64`. We recommend you setting in ClickHouse the right Integer size, as the template will convert the column based on the defined column type (`Int8`, `Int16`, `Int32`, `Int64`). The template will also convert unassigned Int types if used in ClickHouse table (`UInt8`, `UInt16`, `UInt32`, `UInt64`). |
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| [**Numeric - Float Types**](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#numeric_types) | [**Float Types**](../../../sql-reference/data-types/float) | Supported ClickHouse types: `Float32` and `Float64` |
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## Running the Template
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